Data Engineer

A leading consultancy partner is seeking two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a large banking organisation.

This is an excellent opportunity for hands-on Data Engineers who enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives.

Key Responsibilities

• Design, build, and optimise scalable ETL/ELT data pipelines.
• Develop and maintain data solutions using Databricks, Python, SQL, and Oracle.
• Support the migration of data assets from legacy platforms into modern cloud-based environments.
• Deliver enterprise-grade data solutions within a highly regulated environment.
• Ensure data quality, integrity, performance, and security standards are met.
• Collaborate with technical and business stakeholders to translate requirements into effective data solutions.
• Troubleshoot production issues and implement sustainable fixes.
• Contribute to the continuous improvement of the organisation's data platform and engineering practices.

Required Skills & Experience

• 5+ years' commercial experience as a Data Engineer.
• Strong hands-on expertise with Databricks.
• Advanced SQL development skills.
• Strong Python programming experience.
• Extensive experience working with Oracle databases.
• Proven experience building and supporting enterprise data pipelines and integration solutions.
• Experience working within cloud-based data platforms.
• Strong understanding of data modelling, performance optimisation, and data quality controls.

Desirable Experience

• Banking or Financial Services experience.
• Experience working within regulated environments.
• Exposure to Azure Data Platform services.
• Experience supporting cloud migration or modernisation programmes.
• Knowledge of CI/CD and DevOps practices for data engineering.

Contract Details

• Inside IR35
• 6-month initial contract
• 3 days per week onsite in Canary Wharf, London
• Immediate start preferred